CAREERS

MACHINE LEARNING ENGINEER

Be a part of the values-driven community that empowers you to grow and celebrates your whole self.
Skills:
  • Solid experience in deploying and managing software applications using Kubernetes and containerization technologies.
  • Proficiency in container orchestration with Kubernetes, including deployment strategies, scaling, and monitoring.
  • Familiarity with CI/CD (Continuous Integration/Continuous Deployment) pipelines and automation tools.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • Ability to prioritize tasks and work in a fast-paced and dynamic environment.
  • Strong problem-solving skills and the ability to troubleshoot complex deployment issues.
Responsibility
  • Design, implement, and manage deployment strategies for software solutions, leveraging Kubernetes and containerization techniques.
  • Work closely with data science teams to deploy and operationalise machine learning models and pipelines.
  • Collaborate with infrastructure teams to define and implement robust ML inference serving architectures and workflows.
  • Monitor and troubleshoot deployment issues, performance bottlenecks, and system failures.
  • Stay updated with industry trends and advancements in deployment technologies, machine learning frameworks, and data processing tools.
  • Document deployment processes, procedures, and configurations for knowledge sharing and future reference.
An applicant must be a strong fit with Triveni’s core values:
  • Honesty, integrity, and fairness
  • Respect for individual ability, creativity, and diversity
  • Teamwork and open communication
  • Passion and commitment
  • Enjoyment of work and life